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Mini-Challenge 1: Crowdsourcing for Situational Awareness
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Introducation of the Data
The dataset countains two parts, image data and text data:
Image data:
- Pre-quake Shake Map
- Major-quake Shake Map
- St. Himark City Map by Location
Text data:
Report data: The dataset contains individual reports of shaking/damage by neighborhood over time, from 6th April to 11th April.
During the data exploration stage, it is observed that there are missing values for damage level. 0 is filled in for the missing values during calculation.
Pre-Analysis Data Processing
1. The timestamp given in the dataset is in 'YYYY-MM-DD hh:mm:ss' format. For easy aggregation, a new column 'Date' is created.
2. The 'Location' column is identified as a measure when imported to Tableau. It is configured to a dimension for visualization purposes later.
